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Lighten resource-heavy tasks picto

Lighten resource-heavy tasks

Make resource-heavy tasks like video encoding or streaming easier to handle with our GPU1. Your system will experience less load while at the same time accelerating output.

Speed up calculations picto

Speed up calculations

3D rendering and calculations have never been faster. Embrace a new performance era for converting 3D models into 2D images or run geometric algebra computation by relying on our GPUs.

Compute workloads not prices picto

Compute workloads not prices

‚Äč‚ÄčExperience high performance computing (HPC) at a fair cost to performance ratio.

GPU1 based on NVIDIA Tesla P100

Our GPU1 is based on NVIDIA Tesla P100 graphic cards known for infinite compute power. The PascalTM GPU architecture allows acceleration of both HPC and AI. Throughput is massively increased while providing an affordable price.


This GPU architecture and product is designed for discovering new ways in deep learning applications. Projects in need of high performance, strong-scale applications or minimum time to solution are well advised to give this GPU a try.

Start your GPU1

High performance computing at scale

Unparalleled performance for HPC applications and deep learning training workloads. Data scientists and researchers are only two of many examples, who can leverage our GPU1 to ease their work. Most major deep learning frameworks, like Caffe, Tensorflow, and CNTK, are optimized for NVIDIA GPUs.

Discover the best cost to performance ratio

Our GPU1 comes at a fairly priced cost to performance ratio. Choose between four different options, from 1 to 4 GPUs coming with SSD storage from 100 GB up to 1.6 TB depending on the chosen instance type.

RAM CPU Cores GPU Cards Local Storage Price ({{ currency | uppercase }})
Small 56 GB 12 Cores 1 GPU min 100 GB max 800 GB {{ prices.opencompute.gpu.small[currency] | number:5 }} Hour {{ prices.opencompute.gpu.small[currency] * 720 | number:2 }} Month
Medium 90 GB 16 Cores 2 GPU min 100 GB max 1.2 TB {{ prices.opencompute.gpu.medium[currency] | number:5 }} Hour {{ prices.opencompute.gpu.medium[currency] * 720 | number:2 }} Month
Large 120 GB 24 Cores 3 GPU min 100 GB max 1.6 TB {{ prices.opencompute.gpu.large[currency] | number:5 }} Hour {{ prices.opencompute.gpu.large[currency] * 720 | number:2 }} Month
Huge 225 GB 48 Cores 4 GPU min 100 GB max 1.6 TB {{ prices.opencompute.gpu.huge[currency] | number:5 }} Hour {{ prices.opencompute.gpu.huge[currency] * 720 | number:2 }} Month
  1. [1]

    Local Storage is not included in the displayed Instances price, and has a cost of {{ prices.opencompute.volume[currency] | number:5 }} {{ currency | uppercase }} / GB hour. Learn more about Local Storage

  2. [2]

    Instance needs to be shutdown for hypervisor and platform updates as it cannot be live-migrated

  3. [3]

    Monthly prices are estimated for a 720 hours month (hourly price * 720)

  4. [4]

    All prices are rounded. For a precise and detailed view of our prices have a look at our official pricelist (pdf)

  5. [5]

    Available in the following Zones: CH-GVA-2

  6. [6]

    Please note that GPU instances require account validation: access is provided with priority to established businesses, and is granted after a manual screening process

A big bang for scientists

Physics Simulations, Molecular Dynamics, or Quantum Chemistry are only some of HPC sectors that benefit from the GPU resources. High and complex workloads, like Monte Carlo simulations or SLURM workloads, or calculation needs from these industries can be well handled with the Tesla P100 graphic cards.

Level up with NGC on Exoscale GPUs

Combine the simplicity and scalability of the Exoscale Cloud with the power of NVIDIA GPUs. With our Docker based template you can access the full potential of the NVIDIA GPU Cloud (NGC) and significantly reduce time to solution.


NVIDIA GPU Cloud (NGC) provides a selected set of GPU-optimized software for artificial intelligence applications, visualizations and HPC. The NGC Catalog includes containers, pre-trained models, Helm charts for Kubernetes deployments and specific AI toolkits with SDKs.


NGC catalog works with both Exoscale Compute and Exoscale SKS. The image template for SKS worker nodes embeds the optimized version of the container runtime for Nvidia cards making it quick work of starting any application from the catalog without fiddling with drivers and CUDA versions.

Learn more

GPU1 Features

Technical Specifications GPU1

Description Specifications
Graphic Card Tesla P100
Cuda Cores per card 3584
Tensor Cores per card 0
GPU memory per card 16 GB
GPU cards 1-4
CPU cores 12-48
RAM per instance 56-225
SSD local storage max. 1.6 TB (SATA)
Zone CH-GVA-2
Works with Compute
SKS
Docker NVIDIA

Resources

Portal

Get started in our integrated environment with just a few clicks.

Why GPU1 on Exoscale

swiss knife picto
  • Shared or dedicated Hypervisors
  • Large SSD Storage
  • No resource sharing
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  • Cutting edge GPUs
  • NVIDIA cards
  • Pass-through access
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  • Complete platform integration
  • Terraform support
  • API support
Choose From a Wide Selection of Officially Supported Templates
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Trusted by engineers across Europe.

When running mission critical production workloads in the cloud, a partner you can rely on makes all the difference. Our customer success engineers have helped hundreds of customers from all over Europe migrate, run and scale production workloads on Exoscale.

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